MétaCan
Menu
Cohort builder

4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

Search term
Author
Year range
Sort
Language
Type
Field
Venue
Topic
Diabetes, Cardiovascular Risks, and Lipoproteins
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

affaffiliation
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

2,212 results · 1 filter active ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
2,212 works in the cohort · of 4,299,418page 12 of 45

Labels cover 11 of 2,212 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 2,212 of 2,212 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

afffundunlabeled
HDL re-examined
G. Kees Hovingh, Daniel J. Rader, Robert A. Hegele
2015· review· en· Current Opinion in Lipidology· Medicine
machine prediction:candidate · noneconsensus · none
45
citations
affunlabeled
Metabolic syndrome and psychiatric disorders: a population-based study
Fernanda Pedrotti Moreira, Karen Jansen, Taiane de A. Cardoso, Thaíse Campos Mondin, Pedro Vieira da Silva Magalhães, Flávio Kapczinski +4 more
2018· article· en· Brazilian Journal of Psychiatry· Medicine
machine prediction:candidate · noneconsensus · none
45
citations
aboutno affno abstractunlabeled
Alberta Diabetes Atlas 2011
Jeffrey Johnson, Alberta Diabetes Surveillance System
2011· article· nl· University of Alberta Library· Medicine
machine prediction:candidate · noneconsensus · none
41
citations

How this was built: Screen · Findings · About